S. Ramotowska, K. Archambeau, P. Augurzky, F. Schlotterbeck, H.S. Berberyan, L. Van Maanen, J. Szymanik
{"title":"使用新型脑电图机器学习分析方法测试负量化的两步模型","authors":"S. Ramotowska, K. Archambeau, P. Augurzky, F. Schlotterbeck, H.S. Berberyan, L. Van Maanen, J. Szymanik","doi":"10.1080/23273798.2024.2345302","DOIUrl":null,"url":null,"abstract":"The sentences “More than half of the students passed the exam” and “Fewer than half of the students failed the exam” describe the same set of situations, and yet the former results in shorter react...","PeriodicalId":48782,"journal":{"name":"Language Cognition and Neuroscience","volume":"19 1","pages":""},"PeriodicalIF":1.6000,"publicationDate":"2024-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Testing two-step models of negative quantification using a novel machine learning analysis of EEG\",\"authors\":\"S. Ramotowska, K. Archambeau, P. Augurzky, F. Schlotterbeck, H.S. Berberyan, L. Van Maanen, J. Szymanik\",\"doi\":\"10.1080/23273798.2024.2345302\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The sentences “More than half of the students passed the exam” and “Fewer than half of the students failed the exam” describe the same set of situations, and yet the former results in shorter react...\",\"PeriodicalId\":48782,\"journal\":{\"name\":\"Language Cognition and Neuroscience\",\"volume\":\"19 1\",\"pages\":\"\"},\"PeriodicalIF\":1.6000,\"publicationDate\":\"2024-04-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Language Cognition and Neuroscience\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1080/23273798.2024.2345302\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"AUDIOLOGY & SPEECH-LANGUAGE PATHOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Language Cognition and Neuroscience","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1080/23273798.2024.2345302","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"AUDIOLOGY & SPEECH-LANGUAGE PATHOLOGY","Score":null,"Total":0}
Testing two-step models of negative quantification using a novel machine learning analysis of EEG
The sentences “More than half of the students passed the exam” and “Fewer than half of the students failed the exam” describe the same set of situations, and yet the former results in shorter react...
期刊介绍:
Language, Cognition and Neuroscience (formerly titled Language and Cognitive Processes) publishes high-quality papers taking an interdisciplinary approach to the study of brain and language, and promotes studies that integrate cognitive theoretical accounts of language and its neural bases. We publish both high quality, theoretically-motivated cognitive behavioural studies of language function, and papers which integrate cognitive theoretical accounts of language with its neurobiological foundations.
The study of language function from a cognitive neuroscience perspective has attracted intensive research interest over the last 20 years, and the development of neuroscience methodologies has significantly broadened the empirical scope of all language research. Both hemodynamic imaging and electrophysiological approaches provide new perspectives on the representation and processing of language, and place important constraints on the development of theoretical accounts of language function and its neurobiological context.